Book Image

AI-Powered Commerce

By : Andy Pandharikar, Frederik Bussler
Book Image

AI-Powered Commerce

By: Andy Pandharikar, Frederik Bussler

Overview of this book

Commerce.AI is a suite of artificial intelligence (AI) tools, trained on over a trillion data points, to help businesses build next-gen products and services. If you want to be the best business on the block, using AI is a must. Developers and analysts working with AI will be able to put their knowledge to work with this practical guide. You'll begin by learning the core themes of new product and service innovation, including how to identify market opportunities, come up with ideas, and predict trends. With plenty of use cases as reference, you'll learn how to apply AI for innovation, both programmatically and with Commerce.AI. You'll also find out how to analyze product and service data with tools such as GPT-J, Python pandas, Prophet, and TextBlob. As you progress, you'll explore the evolution of commerce in AI, including how top businesses today are using AI. You'll learn how Commerce.AI merges machine learning, product expertise, and big data to help businesses make more accurate decisions. Finally, you'll use the Commerce.AI suite for product ideation and analyzing market trends. By the end of this artificial intelligence book, you'll be able to strategize new product opportunities by using AI, and also have an understanding of how to use Commerce.AI for product ideation, trend analysis, and predictions.
Table of Contents (17 chapters)
Section 1:Benefits of AI-Powered Commerce
Section 2:How Top Brands Use Artificial Intelligence
Section 3:How to Use Commerce.AI for Product Ideation, Trend Analysis, and Predictions

Understanding the challenges of wireless networking brands

Let's start by exploring economic and technological challenges in the wireless networking industry, and how they affect the way wireless networking brands are positioned in the marketplace. This will lay the framework for understanding why data-driven and AI-powered solutions are needed.

In particular, we'll discuss challenges related to the growth in wireless networking traffic and associated performance challenges, as well as increasing ecosystem complexity, and needs for sustainability, 5G, and becoming data-driven.

Growth in traffic

The wireless networking industry is undergoing a period of significant change. The growth in mobile usage and Internet of Things (IoT) devices, as well as the demand for hotspots, has created an unprecedented surge in demand for connectivity – and the need for new ways to meet this demand.

The number of unique users connecting to public Wi-Fi hotspots has quadrupled...